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Process Capability Analysis

Compliance Key INC - Medical Device Training
William A. Levinson
William A. Levinson, P.E., is Keynote Speaker at Compliance key Inc. He is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He is also the author of several books on quality, productivity, and management, of which the most recent is The Expanded and Annotated My Life and Work: Henry Ford's Universal Code for World-Class Success.
Overview
The process capability index, and related process performance index, reflect the ability of a manufacturing process to meet specifications. A Six Sigma process has six process standard deviations between the specification limits and the nominal.
The traditional process capability indices, however, rely on the assumption that the process follows a normal (bell curve) distribution. When this is not the case, special but off the shelf methods must be used to achieve accurate and meaningful results.
Why should you attend this webinar?
Process capability studies are basic quality management activities, and they are often required by customers. They also go hand in hand with deployment of statistical process control (SPC) charts. The generally accepted practice relies on the textbook assumption that the process follows the normal or bell curve distribution, which is far more common in textbooks than in real factories. If the underlying distribution is non-normal, the process performance index can be inaccurate by orders of magnitude in terms of the nonconforming fraction (defects per million opportunities, DPMO). In addition, the traditional SPC charts will not function properly.
Meaningful process performance indices and SPC charts can, however, be calculated and deployed for non-normal distributions, and generally accepted off the shelf methods are available.
Areas Covered in the Session:
  1. Know the difference between the process capability index, which reflects only short-term variation, and the process performance index, which reflects long-term variation, and also know how to calculate them.
  2. Know the relationship between the process performance index and the nonconforming fraction (defects per million opportunities), and the implication of a Six Sigma process.
  3. Understand the importance of the rational subgroup, or sample that reflects all variation sources in the process.
  4. Test process data for conformance to the normal distribution (or other selected distribution) to ensure that the process capability study is meaningful.
  5. Calculate meaningful process performance indices for non-normal data
Who can Benefit:
Manufacturing and quality professionals
 
 
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